Failure Load and Pattern Prediction for the Proximal Femur using Linear FiniteElement Method
سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 85
متن کامل این مقاله منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل مقاله (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ISME23_545
تاریخ نمایه سازی: 9 دی 1403
چکیده مقاله:
Quantitative computational tomography (QCT) basedfinite element analysis (FEA) is an emerging method forbone strength estimation and investigation of mechanicalbehavior of bone structure. The objective of this study isto develop a fast and accurate procedure to predict thevalue of failure load and fracture site of femoral bone invarious loading orientations. Respectively, ten freshfrozen proximal femurs were CT-scanned andsubsequently, the specimens fractured in eight loadingconditions relevant stance and orientations other thanstance. Besides, Load-displacement curves wereacquired to define the failure load and the experimentswere carried on until crack become visible on thesurface of the femur. In consequence, ۳D finite elementmodels of these specimens were provided, and linearanalysis was performed to use. two courses of actionbased on strain energy density risk factor (RF) andequivalent strain risk factor (ESRF) was evaluated topredict failure load and patterns. The procedure wasapplied sorting of all elements in dataset by value of RFand ESRF and calculations of critical elements thatappear at the top of dataset. As a consequence ofempirical tests, very good correlation was seen betweenpredicted load and experimental results (RF procedure:slope = ۰.۹۱۲, R۲ = ۰.۸۴۲ and ESRF procedure: slope =۰.۸۴۶, R۲=۰.۸۰۳). Moreover, the proposed equivalentstrain and strain energy density managed appropriatelyto discriminate the level of failure risk, the location andpattern of failure onset in all the modeled specimens incomparison with experiments. Present study can help tocause the development of a diagnostic method that candetect osteoporotic fracture for aged patients.
کلیدواژه ها:
نویسندگان
Vahid Naeini
Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran;
Pegah Amiri Motlagh
Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran;
Majid Mirzaei
Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran;